Trading Risk & Anti-Fraud Lead

We invite you, a highly motivated and results-oriented Trading Risk & Anti-Fraud Lead , to join our team full-time for ensuring solutions, as well as strengthening the product.

Our team has unique expertise in research, analysis, and product development. By relying on technical insights and a data-driven approach, we create disruptive future-defining innovations of the fin-tech industry that remain our basis for success

Responsibilities

Develop and optimize the business logic for A-Book/B-Book routing, Net Exposure limits, and flow internalization algorithms to maximize B-Book yield

Design, backtest, and implement new rules in the Detection Engine to identify toxic trading, arbitrage, and fraudulent activity

Design the complete lifecycle of risk signals: Detection, Observation, Validation, Confirmation, Action, Monitoring

Investigate the relationships between client behavior, execution quality (slippage, latency, fill rate), liquidity costs, and the broker’s overall P&L

Systematically monitor the performance of deployed rules, analyze false positives and false negatives, mitigate model drift, and adjust thresholds

Lead a team of analysts, prioritize the research backlog, and mentor team members

Requirements

3+ years of experience at FX/CFD brokers, cryptocurrency exchanges (CEX/DEX), HFT firms, market-making firms, prime brokerages, or proprietary trading firms in roles such as Risk Product Manager, Senior Trading Risk Analyst, Quantitative Risk Lead, or Surveillance Strategy Lead

In-depth understanding of brokerage models (A-Book, B-Book, C-Book, STP, and internalization) and their direct impact on company P&L

Strong knowledge of pricing principles, order books (L2/L3), adverse selection, markouts (1s, 5s, 1m), spreads, slippage, execution latency, and fill quality

Hands-on experience detecting and mitigating latency arbitrage, scalping, exploitation of news-driven price spikes, toxic flow, wash trading, spoofing, layering, and DEX/MEV attacks

Understanding of statistics, probability distributions, time series, mathematical expectation (expectancy), drawdown, volatility, and Sharpe/Sortino ratios

Practical experience with routers, bridges, and monitoring systems, CEX matching engines, risk management systems (RMS)

Intermediate (B1) or higher

Ability to combine in-depth mathematical analysis of market data with a product-oriented approach, translating ideas into technical specifications with clear acceptance criteria

Will be a plus

Hands-on trading experience or experience developing algorithmic trading strategies, including HFT and market-making strategies

Experience building a trading fraud or toxic flow detection system from scratch, from initial hypothesis through production deployment

Knowledge of mathematical modeling methods, Monte Carlo simulations, Value at Risk (VaR), stress testing, and market panic scenarios

Practical experience with MetaTrader 4/5 Server/Manager APIs or CEX APIs/WebSockets

Understanding of the specific characteristics of the cryptocurrency trading industry

Proficiency in SQL and Python (Pandas, NumPy, Stats, SciPy) to independently process large volumes of tick-level data and test hypotheses

We offer

20 paid vacation days per year

10 paid sick leave days per year

Public holidays as per the company’s approved Public holiday list

Medical insurance

Opportunity to work remotely

Professional education budget

Language learning budget

Wellness budget (gym membership, sports gear and related expenses)